Tech Stack

Description

You will architect and scale our data infrastructure from the ground up, building robust pipelines and models to power smarter decision-making across the organization. This foundational role involves designing scalable architectures, managing cloud data pipelines, and collaborating with cross-functional teams to transform raw data into actionable insights.

Requirements

• Hands-on experience architecting and scaling data infrastructure from the ground up
• Expert proficiency in Google Cloud Platform services (Cloud Run, Cloud Functions, BigQuery, Cloud Composer)
• Deep experience with DBT for data transformation and Terraform for infrastructure as code
• Strong knowledge of cloud data warehouses (Snowflake, BigQuery) and modern data stack tools (Fivetran, Looker, Tableau, Airflow)
• Proven ability to build scalable ETL/ELT pipelines and collaborate with cross-functional stakeholders

Responsibilities

• Design and implement scalable data modeling and architecture strategies for high-volume data processing
• Develop and manage end-to-end data pipelines using Google Cloud Platform (Cloud Run, Cloud Functions, BigQuery, Cloud Composer/Airflow)
• Build, maintain, and document complex data transformation layers using DBT to ensure data quality and reliability
• Automate cloud resource provisioning with Terraform and streamline deployments via GitHub Actions CI/CD
• Manage and optimize cloud data warehouses such as Snowflake and BigQuery